Profile Job Results
Jobs
jgklx8wo5
Results Ready
Name
stereonet
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 786, 490, 2]Completion Time
3/14/2026, 11:33:24 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
563 ms
Estimated Peak Memory Usage
0 ‑ 2 GB
Compute Units
NPU
397
CPU
1
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.47 min | 2 GB |
Subsequent App Load | 645 ms | 0‑2 GB |
Inference | 563 ms | 0‑2 GB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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